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2006
Springer

Variational Decomposition Model in Besov Spaces and Negative Hilbert-Sobolev Spaces

13 years 7 months ago
Variational Decomposition Model in Besov Spaces and Negative Hilbert-Sobolev Spaces
In this paper, we propose a new variational decomposition model which splits an image into two components: a first one containing the structure and a second one the texture or noise. Our decomposition model relies on the use of two semi-norms: the Besov semi-norm for the geometrical component, the negative Hilbert-Sobolev norms for the texture or noise. And the proposed model can be understood as generalizations of Daubechies-Teschke's model and have been motivated also by Lorenz's idea. And we illustrate our study with numerical examples for image decomposition and denoising.
Min Li, Xiangchu Feng
Added 20 Aug 2010
Updated 20 Aug 2010
Type Conference
Year 2006
Where CIS
Authors Min Li, Xiangchu Feng
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